Discussion on Integrating a Child Rights Perspective in Poverty and Social Impact Analysis Event...

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Discussion on Integrating a Child Rights Perspective in Poverty and Social Impact Analysis

EventDate

United Nations Development Programme

*The views expressed are those of the author and do not necessarily reflect those of the organization with which he/she is affiliated. Please send comments to nameofauthor@undp.org

February 19th, 2010, New York

Namsuk KimOffice of Development Studies

UNDP

The views expressed in this presentation are those of the authors and do not necessarily reflect those of UNDP.

Contribution

•Comprehensive review of PSIAs

•Clear description of CRIA

•Concrete recommendations

Comments on the framework

•Short term vs Long term impacts

•Short term gains vs Long term losses

•Households’ response to policies

Comments on the data

•‘Child Lens’: Wider screen or higher resolution?

•Severe gap between data demand and supply

•Cost and benefit of extensive questions

Average lag in survey data availability for the latest reference year by region

Source: Chen and Ravallion (2008, Table 2).

Updating Frequency of Poverty Incidences and Counts in Selected Developing Countries

Frequency CountriesYearly China and IndonesiaEvery 2 years Thailand and IranEvery 3 years Jordan, Mongolia, and PhilippinesEvery 5 years India, Malaysia, Sri Lanka, and VietnamIrregular, depending on funds availability

Bangladesh, Cambodia, Laos, Fiji, and the Central Asian Republics

Not yet measuring poverty

16 of 79 countries that responded to the UNSD 2004 survey

Source: UN (2006, Chapter 4, p.106).

Data is more costly in developing countries

•The cost per sampling unit of LSMS

•$146 in Vietnam

•$698 in Brazil

•United States Population Census cost only $16 per person

Source: Grosh and Muñoz (1996, p.188) and Gauthier, 2002, p. A-1.

Comments on the suggestions

•Households’ adaptations

•Households’ response to policies/shocks

•World Bank’s incentive

Summary

•Framework: explicitly integrate Long term and short term impacts/behaviors

•Data: Systematic bias, cost/benefit consideration

•Suggestions: Mitigation and adaptations of households, Stakeholders’ response